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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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understanding their pharmacokinetic properties including how the compounds are metabolized to ensure safe and effective drug development. Data-driven life science (DDLS) uses data, computational methods and
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the RELOC-AGE research programme. A web-based housing counselling service has been developed in the programme with the aim of supporting older people to make well-informed decisions about their future housing
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experience in tissue sampling and laboratory methods such as immunohistochemistry, genotyping, and ELISA. Have expertise in, and experience with configuring, programming and supporting Med Associates
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of-the-art methods such as cryo-electron tomography
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qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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on some part of this arena, using research approaches that could include for example textual/discourse analysis, interviews, participant observation and co-creative methods. The exact design of the project
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Description: We are looking for an enthusiastic and dedicated PhD candidate to join the interdisciplinary research center PLATE – Centre for Resilient Meals. PLATE is funded by FORMAS' National Food Program and
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven